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Acquisition and analysis of electrical patterns in ventricular tachycardia patients
Analysis of co-localization from fluorescence images by using spatio-temporal stochastics models

Modeling fluorescent-tagged images using bi-variate random sets. Applications to the study of the molecular mechanisms in neuron-glia communication.

Analysis of spatial and temporal protein-protein interactions in endocytosis

Spatio-temporal characterization of endocytic protein-protein interactions in live-cell imaging to study the dynamics of membrane vesicle trafficking.

Analysis of spatio-temporal coupling of exocytosis and endocytosis in neuroendocrine cells

Novel imaging, image segmentation techniques and statistical models for the detection and analysis of exo-endocytic events from TIR-FM images.

Computational models for Cardiac Resynchronization Therapy

The Research Centre for Software Production Methods (ProS) has a long history of developing model-driven methods.

Construction of heart atlases to study anatomy and function of the pathological heart

Estimation and segmentation of microscopic features of cardiac tissue.

Construction of heart atlases to study anatomy and function of the pathological heart

Construction of probabilistic heart atlases for patient anatomy analysis.

Creation of protocol-directed studies in hospital

The radiology service of the Hospital Universitario La Fe in Valencia periodically provides images ordered by studies for analysis.

Definition of model-driven development methods

Course of the master's degree in Systems Engineering of the Technical University of Madrid to show how to develop systems from conceptual models.

Detection of ectopic foci in patients with atrial fibrillation using non-invasive techniques
Development of new texture descriptors

Collaboration with the wavelet transform group at the University of Buenos Aires for the development of new texture descriptors.

Electromechanical simulation of the heart in high performance computing

Estimation of cardiac motion and deformation patterns in patients with ventricular dyssynchrony.

Estimation of cardiac indices from clinical images to characterize pathological patterns

Comparison of the accuracy of detailed models of the heart with simplified rapid models translatable to clinical settings.

Fast electrophysiological models of the heart

Workflows for building customised models of the heart to simulate electrical activity in candida patients.

Histological analysis of human heart samples to build detailed cardiac computational models

Modelling of cardiac arrhythmias in the atrium and ventricle using detailed multiscale models.

Modeling of ventricular tachycardia to improve radiofrequency ablation techniques

Detailed modelling of electrical activation in the ventricles and its effect on the mechanics of the ventricles.

Multiscale simulation of heart arrhythmias using biophysical models

Modelling of ventricular tachycardia conditions as well as derived electrical patterns for RFA enhancement.

Temporal random closed sets

Statistical analysis, estimation and model fitting of temporal random closed sets. Applications to the study of dynamic processes from image sequences.